History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lays"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1475 | 2026-01-19 16:31:46 | lays | 2 | 29872 | 457 | 1.000 | 29872.0 |
| 1474 | 2026-01-14 20:51:21 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1473 | 2026-01-14 03:46:50 | lays | 2 | 29872 | 457 | 2.533 | 11793.1 |
| 1472 | 2026-01-14 03:32:17 | lays | 1 | 13983 | 35 | 0.236 | 59250.0 |
| 1471 | 2026-01-08 18:57:27 | lays | 1 | 13983 | 35 | 1.610 | 8685.1 |
| 1470 | 2026-01-08 00:01:05 | lays | 1 | 13983 | 35 | 0.313 | 44674.1 |
| 1469 | 2026-01-07 16:22:48 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1468 | 2026-01-06 17:46:34 | lays | 1 | 13983 | 35 | 0.280 | 49939.3 |
| 1467 | 2026-01-06 16:57:34 | lays | 2 | 29872 | 457 | 1.033 | 28917.7 |
| 1466 | 2026-01-06 15:21:31 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1465 | 2026-01-06 08:11:58 | lays | 1 | 13983 | 35 | 0.233 | 60012.9 |
| 1464 | 2026-01-06 07:05:15 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
| 1463 | 2026-01-06 06:00:11 | lays | 1 | 13983 | 35 | 0.296 | 47239.9 |
| 1462 | 2026-01-06 00:44:47 | lays | 2 | 29872 | 457 | 2.593 | 11520.2 |
| 1461 | 2026-01-05 07:15:39 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
| 1460 | 2026-01-04 16:22:38 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
| 1459 | 2026-01-02 22:39:54 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1458 | 2025-12-28 20:22:46 | lays | 1 | 13983 | 35 | 0.483 | 28950.3 |
| 1457 | 2025-12-27 08:56:55 | lays | 2 | 29872 | 457 | 0.920 | 32469.6 |
| 1456 | 2025-12-25 06:44:12 | lays | 1 | 13983 | 35 | 0.263 | 53167.3 |
| 1455 | 2025-12-25 01:07:31 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1454 | 2025-12-20 15:20:28 | lays | 2 | 29872 | 457 | 0.860 | 34734.9 |
| 1453 | 2025-12-20 11:48:41 | lays | 2 | 29872 | 457 | 0.923 | 32364.0 |
| 1452 | 2025-12-19 04:42:50 | lays | 1 | 13983 | 35 | 0.966 | 14475.2 |
| 1451 | 2025-12-19 04:42:38 | lays | 2 | 29872 | 457 | 1.296 | 23049.4 |
| 1450 | 2025-12-18 13:22:46 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
| 1449 | 2025-12-17 16:47:59 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1448 | 2025-12-15 22:36:54 | lays | 1 | 13983 | 35 | 0.343 | 40766.8 |
| 1447 | 2025-12-15 06:31:10 | lays | 2 | 29872 | 457 | 0.906 | 32971.3 |
| 1446 | 2025-12-09 18:28:11 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1445 | 2025-12-09 18:26:51 | lays | 1 | 13983 | 35 | 0.220 | 63559.1 |
| 1444 | 2025-12-09 04:31:47 | lays | 2 | 29872 | 457 | 0.936 | 31914.5 |
| 1443 | 2025-12-08 07:31:52 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1442 | 2025-12-01 22:59:02 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1441 | 2025-11-30 10:25:41 | lays | 2 | 29872 | 457 | 2.733 | 10930.1 |
| 1440 | 2025-11-30 03:32:41 | lays | 2 | 29872 | 457 | 1.716 | 17407.9 |
| 1439 | 2025-11-24 08:09:42 | lays | 2 | 29872 | 457 | 0.923 | 32364.0 |
| 1438 | 2025-11-23 13:53:08 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1437 | 2025-11-22 20:53:36 | lays | 2 | 29872 | 457 | 0.906 | 32971.3 |
| 1436 | 2025-11-22 00:28:25 | lays | 2 | 29872 | 457 | 3.466 | 8618.6 |
| 1435 | 2025-11-18 05:57:17 | lays | 1 | 13983 | 35 | 0.236 | 59250.0 |
| 1434 | 2025-11-16 01:20:43 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1433 | 2025-11-14 04:44:22 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1432 | 2025-11-13 16:12:02 | lays | 1 | 13983 | 35 | 0.236 | 59250.0 |
| 1431 | 2025-11-13 14:35:09 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1430 | 2025-11-12 19:51:03 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
| 1429 | 2025-11-10 18:28:50 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
| 1428 | 2025-11-04 05:32:25 | lays | 2 | 29872 | 457 | 0.906 | 32971.3 |
| 1427 | 2025-10-28 14:03:37 | lays | 2 | 29872 | 457 | 0.830 | 35990.4 |
| 1426 | 2025-10-22 05:01:42 | lays | 2 | 29872 | 457 | 6.750 | 4425.5 |
| 1425 | 2025-10-19 10:32:41 | lays | 1 | 13983 | 35 | 0.356 | 39278.1 |
| 1424 | 2025-10-16 16:24:44 | lays | 2 | 29872 | 457 | 0.783 | 38150.7 |
| 1423 | 2025-10-16 09:42:15 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1422 | 2025-10-09 03:19:02 | lays | 2 | 29872 | 457 | 0.890 | 33564.0 |
| 1421 | 2025-10-08 19:52:53 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
| 1420 | 2025-10-07 03:17:11 | lays | 2 | 29872 | 457 | 0.860 | 34734.9 |
| 1419 | 2025-10-05 22:39:53 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
| 1418 | 2025-09-29 22:25:03 | lays | 2 | 29872 | 457 | 0.796 | 37527.6 |
| 1417 | 2025-09-29 18:28:50 | lays | 1 | 13983 | 35 | 0.220 | 63559.1 |
| 1416 | 2025-09-27 16:21:15 | lays | 1 | 13983 | 35 | 0.546 | 25609.9 |
| 1415 | 2025-09-27 11:49:53 | lays | 2 | 29872 | 457 | 0.953 | 31345.2 |
| 1414 | 2025-09-24 23:59:59 | lays | 1 | 13983 | 35 | 0.720 | 19420.8 |
| 1413 | 2025-09-24 23:59:54 | lays | 1 | 13983 | 35 | 0.470 | 29751.1 |
| 1412 | 2025-09-24 23:59:49 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1411 | 2025-09-24 23:59:44 | lays | 1 | 13983 | 35 | 0.906 | 15433.8 |
| 1410 | 2025-09-23 14:29:11 | lays | 1 | 13983 | 35 | 0.216 | 64736.1 |
| 1409 | 2025-09-21 01:20:56 | lays | 2 | 29872 | 457 | 0.906 | 32971.3 |
| 1408 | 2025-09-19 23:27:13 | lays | 2 | 29872 | 457 | 0.873 | 34217.6 |
| 1407 | 2025-09-18 16:28:11 | lays | 1 | 13983 | 35 | 0.220 | 63559.1 |
| 1406 | 2025-09-17 06:31:15 | lays | 2 | 29872 | 457 | 0.763 | 39150.7 |
| 1405 | 2025-09-15 02:41:42 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
| 1404 | 2025-09-13 03:34:33 | lays | 2 | 29872 | 457 | 1.296 | 23049.4 |
| 1403 | 2025-09-05 16:03:02 | lays | 1 | 13983 | 35 | 0.263 | 53167.3 |
| 1402 | 2025-09-03 01:13:34 | lays | 2 | 29872 | 457 | 0.780 | 38297.4 |
| 1401 | 2025-09-01 04:31:35 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
| 1400 | 2025-08-31 11:37:26 | lays | 2 | 29872 | 457 | 0.936 | 31914.5 |
| 1399 | 2025-08-29 23:03:12 | lays | 1 | 13983 | 35 | 0.263 | 53167.3 |
| 1398 | 2025-08-27 09:16:45 | lays | 2 | 29872 | 457 | 0.966 | 30923.4 |
| 1397 | 2025-08-25 11:25:48 | lays | 2 | 29872 | 457 | 3.080 | 9698.7 |
| 1396 | 2025-08-23 21:54:08 | lays | 1 | 13983 | 35 | 0.516 | 27098.8 |
| 1395 | 2025-08-17 21:10:30 | lays | 2 | 29872 | 457 | 4.406 | 6779.8 |
| 1394 | 2025-08-10 00:26:30 | lays | 1 | 13983 | 35 | 1.326 | 10545.2 |
| 1393 | 2025-08-08 18:11:47 | lays | 2 | 29872 | 457 | 0.983 | 30388.6 |
| 1392 | 2025-08-04 03:14:36 | lays | 2 | 29872 | 457 | 4.313 | 6926.0 |
| 1391 | 2025-08-04 03:14:14 | lays | 2 | 29872 | 457 | 4.763 | 6271.7 |
| 1390 | 2025-08-03 01:33:05 | lays | 1 | 13983 | 35 | 1.203 | 11623.4 |
| 1389 | 2025-08-02 03:11:38 | lays | 2 | 29872 | 457 | 3.813 | 7834.3 |
| 1388 | 2025-08-01 22:48:22 | lays | 1 | 13983 | 35 | 1.160 | 12054.3 |
| 1387 | 2025-07-31 06:19:03 | lays | 2 | 29872 | 457 | 5.656 | 5281.5 |
| 1386 | 2025-07-31 06:11:33 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
| 1385 | 2025-07-30 22:12:23 | lays | 2 | 29872 | 457 | 0.780 | 38297.4 |
| 1384 | 2025-07-28 01:32:00 | lays | 1 | 13983 | 35 | 0.283 | 49409.9 |
| 1383 | 2025-07-26 22:34:39 | lays | 1 | 13983 | 35 | 0.876 | 15962.3 |
| 1382 | 2025-07-24 06:12:35 | lays | 1 | 13983 | 35 | 1.046 | 13368.1 |
| 1381 | 2025-07-23 12:04:53 | lays | 1 | 13983 | 35 | 1.576 | 8872.5 |
| 1380 | 2025-07-23 04:39:52 | lays | 1 | 13983 | 35 | 1.126 | 12418.3 |
| 1379 | 2025-07-19 20:02:52 | lays | 2 | 29872 | 457 | 0.890 | 33564.0 |
| 1378 | 2025-07-14 21:54:16 | lays | 2 | 29872 | 457 | 4.890 | 6108.8 |
| 1377 | 2025-07-12 08:20:46 | lays | 2 | 29872 | 457 | 0.843 | 35435.3 |
| 1376 | 2025-07-11 19:34:55 | lays | 2 | 29872 | 457 | 6.466 | 4619.9 |